Evidence map›Paper›PMID 25639757›Full record

ArticleJournal of medical Internet research2015

The person-based approach to intervention development: application to digital health-related behavior change interventions.

Lucy Yardley, Leanne Morrison, Katherine Bradbury, Ingrid Muller

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 798 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
798citing papers in PubMed, 12 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05997901 nacompletednot on this mapstarted 2024, after this paper: background citation

Helping People Adhere to Their Varenicline Treatment by Co-creating a Conversational Agent: A Feasibility Study

TypeinterventionalSponsorCentre for Addiction and Mental HealthRan2024 to 2025Enrolled40ConditionsMedication Adherence, Smoking CessationArmsVarenicline healthbot
NCT06159803 unknown statusnot on this mapstarted 2024, after this paper: background citation

LIving BEtteR With asThma - Intervention Development Study

TypeobservationalSponsorUniversity Hospital Southampton NHS Foundation TrustRan2024 to 2025Enrolled50ConditionsAsthmaArmsQualitative Interview
3 · Its place in the literature

Who cites it

798 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  6. Older Patients' Verbal Communication in Interactions With Primary Care Staff: A Qualitative Systematic Review and Meta-Ethnography.Health expectations : an international journal of public participation in health care and health policy · 2025
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  14. Using a Person-Centred Approach to Adapt a Digital Therapy for Inflammatory Bowel Disease (COMPASS-IBD).Health expectations : an international journal of public participation in health care and health policy · 2026
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  16. Nasal sprays and a behavioural intervention for respiratory tract infections in primary care: 12-month follow-up of a randomised open-label trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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738 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lucy YardleyDepartment of Psychology, Faculty of Social and Human Sciences, University of Southampton, Southampton, United Kingdom. L.Yardley@soton.ac.uk.ORCID http://orcid.org/0000-0002-3853-883X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes an approach that we have evolved for developing successful digital interventions to help people manage their health or illness. We refer to this as the "person-based" approach to highlight the focus on understanding and accommodating the perspectives of the people who will use the intervention. While all intervention designers seek to elicit and incorporate the views of target users in a variety of ways, the person-based approach offers a distinctive and systematic means of addressing the user experience of intended behavior change techniques in particular and can enhance the use of theory-based and evidence-based approaches to intervention development. There are two key elements to the person-based approach. The first is a developmental process involving qualitative research with a wide range of people from the target user populations, carried out at every stage of intervention development, from planning to feasibility testing and implementation. This process goes beyond assessing acceptability, usability, and satisfaction, allowing the intervention designers to build a deep understanding of the psychosocial context of users and their views of the behavioral elements of the intervention. Insights from this process can be used to anticipate and interpret intervention usage and outcomes, and most importantly to modify the intervention to make it more persuasive, feasible, and relevant to users. The second element of the person-based approach is to identify "guiding principles" that can inspire and inform the intervention development by highlighting the distinctive ways that the intervention will address key context-specific behavioral issues. This paper describes how to implement the person-based approach, illustrating the process with examples of the insights gained from our experience of carrying out over a thousand interviews with users, while developing public health and illness management interventions that have proven effective in trials involving tens of thousands of users.

Indexed as

Health BehaviorPatient Care PlanningSelf CareHumansInternetPatient Education as TopicQualitative Researchbehavior change.evaluation studiesfeasibility studieshealth promotionInternetpatient educationperson-based approachprofessional educationqualitative research

Identifiers

PMID25639757
PMCPMC4327440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.